Application of Modeling and Programming to Predict Plant Growth
DOI:
https://doi.org/10.54097/hset.v63i.10857Keywords:
Differential equations, genetic algorithms, likelihood estimation.Abstract
Plants in different regions have different growth rates due to various environmental factors. At the same time, the biomass of different plant communities is also different because of the biomass of different plants. Based on the application of the principle of plant growth, this paper analyzes the factors affecting the number of plants in the plant community, including precipitation, species number and pollution, and obtains the mathematical model of the change of the number of plants in the community over time under different environmental conditions. After drawing the mathematical model, the biological growth conditions in the environment can be simulated through mathematical modeling. The optimal plant species in the community for the maximum benefit can be obtained through programming forms such as genetic algorithm. The paper provides a reference result for the growth of plants under different environmental conditions.
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